Yuanshi Liu

According to our database, Yuanshi Liu authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AdaPM: a Partial Momentum Algorithm for LLM Training.

Yimu Zhang, Yuanshi Liu, Cong Fang

CoRR, October, 2025

TOGA-Based Fuzzy Grey Cognitive Map for Spacecraft Debris Avoidance.

Chenhui Qin, Yuanshi Liu, Tong Wang, Jianbin Qiu, Min Li

IEEE Trans. Fuzzy Syst., June, 2025

Optimal Algorithms in Linear Regression under Covariate Shift: On the Importance of Precondition.

Yuanshi Liu, Haihan Zhang, Qian Chen, Cong Fang

CoRR, February, 2025

Learning Curves of Stochastic Gradient Descent in Kernel Regression.

Haihan Zhang, Weicheng Lin, Yuanshi Liu, Cong Fang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

The Optimality of (Accelerated) SGD for High-Dimensional Quadratic Optimization.

Haihan Zhang, Yuanshi Liu, Qianwen Chen, Cong Fang

CoRR, 2024

2023

Accelerated Gradient Algorithms with Adaptive Subspace Search for Instance-Faster Optimization.

Yuanshi Liu, Hanzhen Zhao, Yang Xu, Pengyun Yue, Cong Fang

CoRR, 2023

Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee.

Yuanshi Liu, Cong Fang, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023